Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Mattheus P. Ueckermann"'
Autor:
Jerry Bieszczad, David Sullivan, Mattheus P. Ueckermann, Dara Entekhabi, Marc L. Shapiro, David R. Callendar, Jeffrey Milloy
Publikováno v:
Springer Berlin Heidelberg
In this paper, we present the Pipeline for Observational Data Processing, Analysis, and Collaboration (PODPAC) software. PODPAC is an open-source Python library designed to enable widespread exploitation of NASA earth science data by enabling multi-s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d3663016b3d23046f0517efb16211d2c
https://doi.org/10.1007/s12145-020-00506-0
https://doi.org/10.1007/s12145-020-00506-0
Newer satellite platforms, such as NISAR, are poised to produce huge amounts of data that require large computational resources. Currently, researchers typically download datasets for analysis on l...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b9d1cd7ebb765d1f1ac2b056443cff66
https://doi.org/10.1002/essoar.10500684.1
https://doi.org/10.1002/essoar.10500684.1
Publikováno v:
Journal of Computational Physics. 306:390-421
Schemes for the incompressible Navier-Stokes and Boussinesq equations are formulated and derived combining the novel Hybridizable Discontinuous Galerkin (HDG) method, a projection method, and Implicit-Explicit Runge-Kutta (IMEX-RK) time-integration s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b3e7381788c7df01d0e9f271601af42d
https://doi.org/10.1016/j.jcp.2015.11.028
https://doi.org/10.1016/j.jcp.2015.11.028
Publikováno v:
Journal of Computational Physics. 233:272-294
The quantification of uncertainties is critical when systems are nonlinear and have uncertain terms in their governing equations or are constrained by limited knowledge of initial and boundary conditions. Such situations are common in multiscale, int
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d1758027753eccae4e388b41ddb6ad57
https://doi.org/10.1016/j.jcp.2012.08.041
https://doi.org/10.1016/j.jcp.2012.08.041
Autor:
Tapovan Lolla, Konuralp Yigit, Wayne G. Leslie, Patrick J. Haley, Pierre F. J. Lermusiaux, Mattheus P. Ueckermann, Thomas Sondergaard
Publikováno v:
Springer Handbook of Ocean Engineering ISBN: 9783319166483
The science of autonomy is the systematic development of fundamental knowledge about autonomous decision making and task completing in the form of testable autonomous methods, models and systems. In ocean applications, it involves varied disciplines
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3bd2c009361c630b9f9ebbd0b3617f5d
https://doi.org/10.1007/978-3-319-16649-0_21
https://doi.org/10.1007/978-3-319-16649-0_21
Publikováno v:
Ocean Dynamics. 60:1415-1445
Accurate numerical modeling of biogeochemical ocean dynamics is essential for numerous applications, including coastal ecosystem science, environmental management and energy, and climate dynamics. Evaluating computational requirements for such often
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d54fc547c176b398d1f6cc71c66f069c
https://doi.org/10.1007/s10236-010-0351-x
https://doi.org/10.1007/s10236-010-0351-x
Publikováno v:
Proceedings of the 14th Python in Science Conference.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b8f596295c55f0cf56adc3bbb5d655b
https://doi.org/10.25080/majora-7b98e3ed-011
https://doi.org/10.25080/majora-7b98e3ed-011
Publikováno v:
Prof. Lermusiaux via Angie Locknar
We develop an accurate partial differential equation-based methodology that predicts the time-optimal paths of autonomous vehicles navigating in any continuous, strong, and dynamic ocean currents, obviating the need for heuristics. The goal is to pre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6153001b954a4a6d3e7ae24901c6339f
http://hdl.handle.net/1721.1/98278
http://hdl.handle.net/1721.1/98278
Publikováno v:
MIT web domain
We provide a new framework for the study of fluid flows presenting complex uncertain behaviour. Our approach is based on the stochastic reduction and analysis of the governing equations using the dynamically orthogonal field equations. By numerically
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6f4a82e014d5d68dd271105299ab60ea
https://orcid.org/0000-0002-1869-3883
https://orcid.org/0000-0002-1869-3883
Publikováno v:
ICRA
We develop and illustrate an efficient but rigorous methodology that predicts the time-optimal paths of ocean vehicles in continuous dynamic flows. The goal is to best utilize or avoid currents, without limitation on these currents or on the number o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::28965b93172cec0bd89bdcd08820e64b
https://doi.org/10.1109/icra.2012.6225364
https://doi.org/10.1109/icra.2012.6225364